j.help
Skill0 starsChanged 21 days agoApache-2.0View on GitHub
List all available skills with a short description of what each one does. Also use this skill when the user wants to know what commands or skills are available in the project.
- Installs packages
In this repository151 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- j.brainstormSkill
- j.breakSkill
- j.btwSkill
- j.check-inSkill
- j.clearifySkill
- j.close-storySkill
- j.cloud-connectSkill
- j.commitSkill
- j.connectSkill
- j.continueSkill
- j.conventionsSkill
- j.dashboard-shareSkill
- j.dashboardSkill
- j.deep-diveSkill
- j.distributeSkill
- j.docSkill
- j.doc-syncSkill
- j.doooSkill
- j.doSkill
- j.jenga-configSkill
- j.jenga-permission-levelSkill
- j.jengaSkill
- j.errorSkill
- j.evaluateSkill
- j.examplifySkill
- j.gitignoreSkill
- j.ideaSkill
- j.improveSkill
- j.initSkill
- j.jbpSkill
- j.lgtmSkill
- j.pi-planSkill
- j.playbook-newSkill
- j.playbookSkill
- j.proceedSkill
- j.publishSkill
- j.reconcile-originSkill
- j.reconcileSkill
- j.redoSkill
- j.skillifySkill
- j.smoke-testSkill
- j.spinoffSkill
- j.statusSkill
- j.testSkill
- j.todoSkill
- j.toolsSkill
- j.unchartedSkill
- j.wtfSkill
- skill-nameSkill
- j.brainstormSkill
- j.breakSkill
- j.btwSkill
- j.check-inSkill
- j.clearifySkill
- j.close-storySkill
- j.cloud-connectSkill
- j.commitSkill
- j.connectSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 41
If found, returns a list of all folder names inside it.
- Distinctive: line 42
If neither exists, returns a clear message listing the paths it checked.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Help — List Available Skills
skills/j-help/ is the canonical, hand-edited directory for this skill, per CLAUDE.md's "The Canonical Naming Contract" (the E50 reopening of 2026-09-09, which promoted skills/j-help/ from generated twin to sole canonical form). The j- prefix is there for collision safety — a real directory under a distinct name, so a host tool shipping its own same-named built-in command cannot shadow it (Claude Code's native skill resolution is a literal-string, directory-name-based match; see project/documentation/skill-authoring.md's "Invocation Convention").
⚠️
scripts/generate-j-alias.shwas retired byE50_S14and no longer exists — there is nothing to run. This file was previously generated from a bareskills/help/SKILL.mdsource;E50_S15deleted that directory. This file is now the sole canonical, hand-edited source for this skill — edit it directly.
Instructions
List all available skills (from the current skill list) with a short description of what each one does. Format the output as a table with columns for the slash command and its description.
MCP Tool (Dynamic Discovery)
An MCP server ships inside the jenga-agent package at mcp/help/ that dynamically discovers skills at runtime.
To install and run (from a consumer project that has jenga-agent installed):
cd node_modules/jenga-agent/mcp/help && npm install
node index.jsOr wire it as an MCP server in .claude/settings.json — jenga attach does this automatically for the router; the help server can be added the same way, pointing args at node_modules/jenga-agent/mcp/help/index.js.
The help tool accepts an optional path argument (defaults to cwd) and:
- Looks for a
.claude/skillsdirectory at that path, falling back to.agents/skills. - If found, returns a list of all folder names inside it.
- If neither exists, returns a clear message listing the paths it checked.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

